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arXiv:2602.15190v1 Announce Type: new Abstract: In this paper, we present our 3rd place system in the AVerImaTeC shared task, which combines our last year's retrieval-augmented …
arXiv:2602.15197v1 Announce Type: new Abstract: Tool-calling is essential for Large Language Model (LLM) agents to complete real-world tasks. While most existing benchmarks assume simple, perfectly …
arXiv:2602.15312v1 Announce Type: new Abstract: Accurately measuring consumer emotions and evaluations from unstructured text remains a core challenge for marketing research and practice. This study …
arXiv:2602.15313v1 Announce Type: new Abstract: AI Memory, specifically how models organizes and retrieves historical messages, becomes increasingly valuable to Large Language Models (LLMs), yet existing …
arXiv:2602.15353v1 Announce Type: new Abstract: Large pretrained language models and neural reasoning systems have advanced many natural language tasks, yet they remain challenged by knowledge-intensive …
arXiv:2602.15373v1 Announce Type: new Abstract: Language models exhibit systematic performance gaps when processing text in non-standard language varieties, yet their ability to comprehend variety-specific slang …
arXiv:2602.15377v1 Announce Type: new Abstract: Customer service automation has seen growing demand within digital transformation. Existing approaches either rely on modular system designs with extensive …
arXiv:2602.15378v1 Announce Type: new Abstract: Can large language models converse in languages virtually absent from their training data? We investigate this question through a case …
arXiv:2602.15382v1 Announce Type: new Abstract: Multi-Agent Systems (MAS) powered by Large Language Models have unlocked advanced collaborative reasoning, yet they remain shackled by the inefficiency …
arXiv:2602.15436v1 Announce Type: new Abstract: Digitized historical archives make it possible to study everyday social life on a large scale, but the information extracted directly …
arXiv:2602.15449v1 Announce Type: new Abstract: Large Language Models (LLMs) are changing the coding paradigm, known as vibe coding, yet synthesizing algorithmically sophisticated and robust code …
arXiv:2602.15456v1 Announce Type: new Abstract: Agents based on Large Language Models (LLMs) are increasingly being deployed as interfaces to information on online platforms. These agents …